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Clustering and Association Modeling Using IBM SPSS Modeler (v18.1) SPVC

 

Quién debería asistir

Modelers, Analysts

Prerrequisitos

• Experience using IBM SPSS Modeler • A familiarity with the IBM SPSS Modeler environment: creating models, creating streams, reading in data files, and assessing data quality • A familiarity with handling missing data (including Type and Data Audit nodes), and basic data manipulation (including Derive and Select nodes)

Descripción del Producto

Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

Clustering and Association Modeling Using IBM SPSS Modeler (v18.1) introduces modelers to two specific classes of modeling that are available in IBM SPSS Modeler: clustering and associations. Participants will explore various clustering techniques that are often employed in market segmentation studies. Participants will also explore how to create association models to find rules describing the relationships among a set of items, and how to create sequence models to find rules describing the relationships over time among a set of items.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms